IS WORK OVER?

Automation index

How much of a Greengrocer’s job can AI already do?

A wholesale order comes earlier. Setting the stall without selling the gone piece do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Greengrocer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Wholesale, season and what is at its point.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Stall, replenish and the piece that softens.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Customer, advice and the one who cannot ripen it.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Shrink, cold and closing the day.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The market, the rain and not leaving the stall alone.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
At its point, and not selling what is gone.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • set the stall
  • fruit season
  • replenish fruit
  • shrink
  • ripen
  • the market
  • wholesale
  • advise the customer

Sources for this job· O*NET 41-2031.00· ESCO/ISCO 5223

Logistics analyst

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Costs, OTIF and the dashboard.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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